--- 格式版本: 2 标题: "3.8 GW Load Drop Prompts Potential PJM Data Center Rules" 原文链接: "https://www.datacenterknowledge.com/regulations/3-8-gw-load-drop-prompts-potential-pjm-rules" 发布日期: "2026-08-12" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:scrape:provider_published_at" 发布时间证据: "provider publishedAt: 2026-08-12" 发布时间校准原因: "候选日期均为2026-08-12,且来源为发布元数据,明确标注文章发布时间,无冲突或排除情形。" 发布时间校准置信度: "1" 发布时间候选数量: 3 发布时间严格候选数量: 0 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-13T18:26:54+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 9919 发现时间: "2026-08-13T18:24:31+08:00" 入库时间: "2026-08-13T10:27:04.446Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "https://www.datacenterknowledge.com/search?q=AI" 匹配关键词: - "AI" 相关厂家: [] 相关专家: [] 内容类型: "网页" 抓取工具: "Free Fetch + Defuddle" 清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 27 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "文章聚焦PJM电网可靠性事件与数据中心负荷转移监管,未涉及超节点/AI Rack/机柜级AI基础设施、硬件架构、供电散热或量产落地等核心主题,仅提及数据中心作为电力负荷,与项目关注范围明显无关。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-13T18:27:14+08:00" AI主题相关性: 3 AI来源权威性: 10 AI新颖性: 5 AI技术细节: 2 AI商业部署信号: 0 AI完整性: 7 AI摘要: "美国电网运营商PJM正考虑为数据中心等大型计算负载制定穿越(ride-through)新规,起因是7月22日北弗吉尼亚一次输电故障中,近3,800 MW数据中心负载突然转由自备发电供电。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:39:45.845Z" 采集批次: "2026年8月13日18点24分27秒" 采集批次ID: "20260813-182427-1564e572" 去重键: "https://www.datacenterknowledge.com/regulations/3-8-gw-load-drop-prompts-potential-pjm-rules" --- PJM is weighing ride-through rules for data centers after nearly 3,800 MW of Northern Virginia load transferred to onsite generation during the grid event. Getty Images PJM Interconnection is considering new requirements for data centers and other large computational loads to remain connected during grid disturbances after [nearly 3,800](https://insidelines.pjm.com/pjm-dominion-review-large-load-transfer-event/) megawatts of Northern Virginia data center demand was transferred to onsite generation last month. The [July 22 event](https://www.datacenterknowledge.com/outages/fault-in-data-center-alley-triggered-3-gw-load-drop-on-pjm) demonstrated that large data centers are becoming an active variable in bulk-system operations, not simply another source of electricity demand for grid planners to forecast. “A nearly 3.8 GW transfer from grid supply to onsite generation following a transmission disturbance is large enough that planners should be asking not only, ‘How much load is connected?’ but also, ‘How will that load behave when the system is disturbed?’” said Neil Osnato, founder of Persistence Analytics Group. The event occurred after a mechanical failure caused a 230-kilovolt transmission line in Northern Virginia to automatically come out of service. The fault was properly cleared, according to PJM, but data centers in the Dominion zone subsequently transferred from the grid to onsite generation. About 2,970 MW of load was transferred in the first wave, followed by another 1,099 MW as the system voltage increased. The sudden reduction in demand forced PJM operators to quickly cut generation and deploy reactive power resources as voltage and frequency rose. PJM restored its balancing-authority-area control error within nine minutes, well inside the 30-minute NERC requirement. The grid remained reliable, but the event was the largest sudden large-load transfer PJM has experienced. “A large load can therefore create reliability consequences both when it arrives and when it suddenly leaves,” Osnato said. ## Large Loads Become a Reliability Variable The event highlights a growing reliability challenge as data centers account for an increasing share of electricity demand. Data centers use sophisticated protection and control systems to safeguard sensitive computing equipment against voltage and frequency fluctuations. Those systems can transfer a facility to onsite generation when they detect conditions that could threaten equipment. For an individual facility, that can be an appropriate protective response. However, across several gigawatts of load, simultaneous transfers can create a system-level event. PJM is now examining whether large computational loads need ride-through requirements similar in concept to requirements imposed on generation resources. With inverter-based generation, reliability standards evolved in response to the risk that large amounts of generation could disconnect simultaneously during voltage or frequency disturbances. The emerging computational-load problem is the inverse: Large amounts of demand can suddenly disappear from the grid, be transferred behind the meter, or materially change their consumption in response to the same disturbance. “The core reliability principle is similar,” Osnato said. “A normally cleared grid disturbance should not automatically trigger a second, much larger system disturbance because thousands of megawatts of resources or load react in the same direction.” PJM Operating Committee Chair Emanuel Bernabeu made a similar point during an August 6 committee meeting, saying the data centers involved in the July event “should not disconnect from the grid.” The July event was not the first such incident in Dominion’s territory. PJM said similar events resulted in approximately 1,500 MW of load transfers in July 2024 and February 2025. The latest event was more than twice the size of either of the previous events. ## PJM Is Considering Ride-Through Requirements PJM and Dominion are reviewing the July 22 event and considering enhancements to reliability requirements for existing and future large loads. “We are currently evaluating potential enhancements to reliability requirements, with consideration of existing and future industry ride-through standards and practices,” Matthew Wharton, PJM’s manager of reliability engineering, said. PJM said the work will proceed through its stakeholder process, including the Planning Committee. The potential requirements could go beyond a simple voltage or frequency threshold. Osnato said large-load requirements should address voltage and frequency ride-through, protection coordination, the behavior of onsite generation and storage during a grid disturbance, and how facilities reconnect to the grid. Telemetry and event recording will also be important, he said, because PJM needs visibility into how large facilities respond to disturbances. The goal would be to prevent a facility’s protection system from responding to a normally cleared transmission event in a way that creates a much larger disturbance for the bulk power system. ## Federal Rules Are Also Taking Shape PJM’s review comes as federal regulators are developing reliability requirements specifically for computational loads. In July, the Federal Energy Regulatory Commission directed the North American Electric Reliability Corporation to develop reliability standards addressing the integration of large computational loads into the bulk power system. PJM does not necessarily have to wait for those national standards before addressing the operating characteristics of large loads on its system. Osnato said PJM can address issues including connection and service requirements, protection-setting disclosure, dynamic load models, event telemetry, disturbance reporting, operating protocols and transfer-to-onsite-generation behavior through its existing planning and interconnection processes. “NERC should eventually establish the common reliability floor,” Osnato said. “PJM may need requirements above that floor where the characteristics and concentration of its large-load fleet warrant them.” That could become particularly important for new data centers, where ride-through, telemetry, modeling and protection requirements can be incorporated before a facility is energized. Existing facilities pose a harder problem because their protection systems and contractual arrangements are already in place. But Osnato said the reliability implications cannot simply be eliminated by grandfathering existing facilities. “If an existing site can change grid demand by hundreds of megawatts in seconds, grandfathering that behavior indefinitely does not eliminate the reliability consequence,” he said. He suggested a risk-based approach beginning with facilities whose size, location and disturbance response could materially affect bulk-power-system reliability. ## The 1 GW Data Center Is No Longer Just 1 GW The July event also complicates how planners evaluate the enormous data center pipeline developing across PJM. A facility’s nameplate demand does not necessarily describe its behavior under all operating conditions. Osnato said planners increasingly need to understand the sequence from routine grid import through disturbance response, onsite transfer, restoration and reconnection. “We have spent much of the large-load debate asking whether projected data-center demand will actually materialize,” he said. “This event adds another dimension: even once the facility is real and energized, planners need to know how much load remains electrically dependent on the grid under different operating conditions.” That means planners may need to distinguish between gross facility demand, routine grid imports, maximum grid imports, disturbance-response load, emergency grid dependency and flexible or curtailable load. “The headline ‘1 GW data center’ is becoming increasingly inadequate,” Osnato said. The July 22 event provides a concrete example of why. PJM needs to know not only how much demand will connect to its system, but what that demand will do when the system is disturbed. For data center developers, that could make protection settings, ride-through capability, telemetry and transfer behavior part of the technical requirements for operating large computational facilities on the PJM system.